Automated Testing: A Software Engineering Concept Data Scientists Must Know To Succeed
#Article #Data_Science #Software_Engineering #Deep_Dives #Learning #Programming #Python #Tutorial_Python
via Towards Data Science
#Article #Data_Science #Software_Engineering #Deep_Dives #Learning #Programming #Python #Tutorial_Python
via Towards Data Science
Telegraph
Automated Testing: A Software Engineering Concept Data Scien…
Why you should read this article Most data scientists whip up a Jupyter Notebook, play around in some cells, and then maintain entire data processing and model training pipelines in the same notebook. The code is tested once when the notebook was first written…
What Is Data Literacy in 2025? It’s Not What You Think
#Article #Communication #Data_analysis #Data_Visualization #Storytelling #Communications_Strategy #Data_Science #Deep_Dives #Storytelling_With_Data
via Towards Data Science
#Article #Communication #Data_analysis #Data_Visualization #Storytelling #Communications_Strategy #Data_Science #Deep_Dives #Storytelling_With_Data
via Towards Data Science
Telegraph
What Is Data Literacy in 2025? It’s Not What You Think
In today’s fast-paced, distraction-heavy world, data literacy isn’t just about understanding charts or analyzing numbers—it’s about context, clarity, and human connection. With attention spans shrinking and AI-generated insights flooding our screens, even…
The Misconception of Retraining: Why Model Refresh Isn’t Always the Fix
#Article #Analytics #Artificial_Intelligence #Data_Science #Machine_Learning #Big_Data #Data_Pipeline
via Towards Data Science
#Article #Analytics #Artificial_Intelligence #Data_Science #Machine_Learning #Big_Data #Data_Pipeline
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Telegraph
The Misconception of Retraining: Why Model Refresh Isn’t Alw…
Retraining is easy; knowing when not to is the real challenge. In machine learning, performance drops are rarely about stale weights; they’re about misunderstood signals. The post The Misconception of Retraining: Why Model Refresh Isn’t Always the Fix appeared…
The ONLY Data Science Roadmap You Need to Get a Job
#Article #Artificial_Intelligence #Data_Science #Machine_Learning #Programming #Python
via Towards Data Science
#Article #Artificial_Intelligence #Data_Science #Machine_Learning #Programming #Python
via Towards Data Science
Telegraph
The ONLY Data Science Roadmap You Need to Get a Job
Are you looking to become a data scientist and don’t know where to start? In this article, I want to provide you with a straightforward, no-nonsense learning roadmap that you can follow to break into the industry. By the end, you’ll finally have a clear understanding…
#Artificial_Intelligence #Data #Machine_learning #Automated_reasoning #SAT_solvers #SMT_solvers
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John D. Cook | Applied Mathematics Consulting
Machine learning by satisfiability solving
Automated reasoning tools like SAT and SMT solvers might seem an unlikely choice for machine learning. However for some cases they can be quite effective.
UX Collective - Medium
Claude’s search for an accessible color triad
#data_visualization #ux #generative_ai_tools #color_theory #ai
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Claude’s search for an accessible color triad
#data_visualization #ux #generative_ai_tools #color_theory #ai
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Medium
Claude’s search for an accessible color triad
A GenAI dataviz story.
When Models Stop Listening: How Feature Collapse Quietly Erodes Machine Learning Systems
#Article #Artificial_Intelligence #Machine_Learning #Data_Science #MLOps_Monitoring #Model_Drift
via Towards Data Science
#Article #Artificial_Intelligence #Machine_Learning #Data_Science #MLOps_Monitoring #Model_Drift
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Telegraph
When Models Stop Listening: How Feature Collapse Quietly Ero…
Models don't just fail with noise; they fail in silence, by narrowing their attention to the point of fragility. The post When Models Stop Listening: How Feature Collapse Quietly Erodes Machine Learning Systems appeared first on Towards Data Science. Generated…
“I think of analysts as data wizards who help their product teams solve problems”
#Article #Agentic #Artificial_Intelligence #Author_Spotlights #Data_Science #Data_Visualization #Interview #Machine_Learning
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#Article #Agentic #Artificial_Intelligence #Author_Spotlights #Data_Science #Data_Visualization #Interview #Machine_Learning
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Telegraph
“I think of analysts as data wizards who help their product …
Mariya Mansurova explains how hands-on learning, agentic AI, and engineering habits shape her writing and work. The post “I think of analysts as data wizards who help their product teams solve problems” appeared first on Towards Data Science. Generated by…
How Computers “See” Molecules
#Article #Artificial_Intelligence #Biotechnology #Chemistry #Data_Science #Machine_Learning #Bioinfomatics #Computational_Biology #Graph #Representation
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#Article #Artificial_Intelligence #Biotechnology #Chemistry #Data_Science #Machine_Learning #Bioinfomatics #Computational_Biology #Graph #Representation
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Telegraph
How Computers “See” Molecules
Generative Molecular Design (Part 1): common molecular representations in data science. The post How Computers “See” Molecules appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source
Mastering NLP with spaCy – Part 2
#Article #Artificial_Intelligence #Machine_Learning #Natural_Language_Processing #Data_Science #Deep_Learning #Python #Statistics #Technology
via Towards Data Science
#Article #Artificial_Intelligence #Machine_Learning #Natural_Language_Processing #Data_Science #Deep_Learning #Python #Statistics #Technology
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Telegraph
Mastering NLP with spaCy – Part 2
POS tagging, dependency parser and named entity recognition. The post Mastering NLP with spaCy – Part 2 appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source